Principal Scientist Computational Biology

This role involves applying analytical expertise to complex biological datasets within the Neuroscience, Immunology, and Cardiovascular (NIC) discovery team. The position focuses on computational research for early-stage drug development, particularly targeting neurodegenerative diseases.

Key Responsibilities

• Conduct computational analysis on high-dimensional data from perturbation experiments (CRISPR screens, perturb-seq, cellular imaging)
• Apply machine learning to compare experimental results against disease states using patient data
• Collaborate across functional teams to identify and validate therapeutic targets
• Partner with external academic and industry collaborators
• Communicate findings through presentations and team meetings

Requirements

• Bachelor's degree + 8+ years experience, OR Master's degree + 6+ years experience, OR PhD + 4+ years experience
• PhD in quantitative field (computational biology, genomics, statistics, mathematics) preferred
• 5+ years post-graduate experience
• Proficiency in R or Python with reproducible research practices
• Experience analyzing multi-omics datasets (RNA-seq, ATAC-seq, proteomics)
• Knowledge of single-cell and spatial profiling techniques
• Neuroscience background preferred